Factors Associated With COVID-19 Behavioral Intentions: Findings From an Online Survey

Autor: Yuki Lama, Alex Budenz, Anna Gaysynsky, Irina A. Iles, Wen-Ying Sylvia Chou
Rok vydání: 2022
Předmět:
Zdroj: American Journal of Health Promotion. 36:1183-1192
ISSN: 2168-6602
0890-1171
Popis: Purpose The COVID-19 pandemic provides a novel context through which to evaluate salient factors for promoting behavioral change. We examined how attitudes, perceived community behaviors, and prior related behaviors predict intentions to (1) receive COVID-19 vaccination and (2) practice social distancing. Design Cross-sectional online survey administered through Amazon’s Mechanical Turk in September 2020. Subjects A convenience sample of US adults (N = 1804). Measures COVID-19 vaccination and social distancing intentions were measured on a 7-point Likert scale. Predictor variables included general vaccination and social distancing attitudes, perceived community mask-wearing, prior influenza vaccination, prior social distancing, and socio-demographics. Analysis Descriptive statistics and linear regressions. Results Thirty percent of respondents reported a strong willingness to receive COVID-19 vaccination, while 67% strongly intended to engage in social distancing. In regression analyses, vaccination intention was predicted by positive vaccine attitudes (b = .84; 95%CI: .78, .90; P < .001), prior influenza vaccination (b = −.47; 95%CI: −.63, −.32; P < .001), and perceived community mask-wearing (b = −.28; 95%CI: −.56, −.01; P=.049). Intention to practice social distancing was predicted by positive attitudes (b = .65; 95%CI: .61, .69; P < .001), prior social distancing (b = −.49; 95%CI: −.59, −.39; P < .001), and perceived community mask-wearing (b = −.28; 95%CI: −.46, −.09; P = .003). Conclusion Findings have implications for health promotion efforts. Messages that are targeted and tailored on pre-existing attitudes may be more effective. Additionally, leveraging prior behaviors and perceived community behavior may improve communication strategies.
Databáze: OpenAIRE